Latest Articles for Training Data

This article focuses on identifying data misuse in text-to-image models.

This framework improves counterfactual statement detection using neural models and causal methods.

SciDFM offers advanced reasoning and understanding for scientific research.

Enhancing translation quality by aligning with human needs.

A new approach improves self-driving car safety through counterfactual examples.

Understanding the complexities of proving data usage in AI training.

Explore how machine learning improves quantum system modeling with minimal data.

Exploring how smaller models struggle with inaccuracies from larger counterparts.

A study reveals challenges AI faces in interpreting shapes through TurtleBench.

A look into membership inference attacks and their relevance in data privacy.

Researchers improve robot navigation through simulations and generative models.

Researchers use language models to assist in sentiment analysis for code-mixed text.

A new approach to enhance VLMs for better assistance to visually impaired users.

Investigating the impact of diverse training data on humanoid robot movement.

Discover the latest improvements in Arabic language processing technology and its impact.

A new training method improves image segmentation for specific object identification.

Contamination in model training can skew results and misrepresent performance.

A new method speeds up video action recognition with less data.

Explore the impact of shortcut learning on language models and their real-world applications.

Context helps machines recognize objects more effectively.

Researchers improve protein model training using diverse data and efficient methods.

Learn how neural networks can tackle partial differential equations effectively.

Discover how digital libraries tackle the vast ocean of information every day.

An overview of the strengths and flaws in today's Vision-Language Models.

Data forging attacks pose serious threats to model integrity and privacy.

Regular audits make healthcare language models reliable for patient care.

Create high-quality 3D models quickly and easily with Edify 3D.

MapSAM revolutionizes how we analyze historical maps efficiently.

Innovative methods enhance SQL code bug fixing using large language models.

This article explores how the brain identifies objects through the visual ventral stream.

Examining SLAM-ASR's strengths, weaknesses, and future in speech recognition.

Exploring activation sparsity to improve language model efficiency.

Language models struggle with popular questions, leading to shallow answers and inconsistencies.

New methods improve how computers recognize individuals in various settings.

A look at how AI struggles with basic linear functions despite extensive training.

Two methods enhance chatbots for better understanding user needs.

AbilityLens standardizes evaluation for multimodal large language models.

Enhancing routing predictions for better electronic devices.

Creating smarter agents that adapt to human behavior in cooperative tasks.

Examining the limitations of LLMs in analyzing sentiments from text and images.